code: def __init__(self, inputs):
      self.inputs = {
          HoVerNetBranch.NP: inputs[1],
          HoVerNetBranch.HV: inputs[3],
      }
      self.targets = {
          HoVerNetBranch.NP: inputs[0],
          HoVerNetBranch.HV: inputs[2],
      }
  
      if len(inputs) > 4:
          self.targets[HoVerNetBranch.NC] = inputs[4]
          self.inputs[HoVerNetBranch.NC] = inputs[5]
  
file_path: MONAI/tests/test_hovernet_loss.py
imports: from __future__ import annotations
  import random
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from torch.nn import functional
  from monai.apps.pathology.losses import HoVerNetLoss
  from monai.transforms import GaussianSmooth, Rotate
  from monai.transforms.intensity.array import ComputeHoVerMaps
  from monai.utils.enums import HoVerNetBranch
label_desc: Use image node_id 1 to create a new PrepareTestInputs object  with example: obj = PrepareTestInputs(inputs)